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Scientists are studying your Twitter slang to help AI
Mathematicians studied 100 billion tweets to help computer algorithms better understand our colloquial digital communication.
- A group of mathematicians from the University of Vermont used Twitter to examine how young people intentionally stretch out words in text for digital communication.
- Analyzing the language in roughly 100 billion tweets generated over eight years, the team developed two measurements to assess patterns in the tweets: balance and stretch.
- The words people stretch are not arbitrary but rather have patterned distributions such as what part of the word is stretched or how much it stretches out.
What? whaat. WHAT? Whaaaattt?
While all of the above are expressions of confusion, you understand them to mean slightly different things. That's based upon the way you imagine the word to sound signified by the repetition of or emphasis put on certain letters. The underlying meaning imbued within our vernacular, slang, and deliberately misspelled words is how we lace our digital communication with human emotion.
Which has, coincidentally, proved to be one of the major challenges for language-processing artificial intelligence. But scientists are trying, and they're studying our Twitter lingo to bring computers up to speed on how humans really communicate.
Balance and Stretch
Photo credit: Dole777 / Unsplash
Over the last two decades, social media has provided scientists with a trove of free information about human behavior and language. A group of mathematicians from the University of Vermont used Twitter to examine how young people intentionally stretch out words in text for digital communication. They created a method to essentially quantify the semantic nuances in between stretched words, like "right" vs. "riiiiiight," with the aim to teach future AI algorithms human digital colloquialisms.
"Written communication has recently begun encoding new forms of expression, including the emotional emphasis delivered by stretching words out," said Chris Danforth, professor of Mathematics & Statistics in the Vermont Complex Systems Center and member of the research team behind the study.
In their study, published last week in the journal PLOS One, the team analyzed the language in roughly 100 billion tweets generated from 2008 to 2016. They developed two measurements to assess patterns in the tweets: balance and stretch. For example hahahaha would be considered a stretched world high on balance while a term like wtffffff has stretch but little balance as only one letter, f, contributes to the stretchiness. This means to put emphasis on the world abbreviated by the letter "f".
"With so much communication happening electronically these days, we're all trying to find ways to convey emotion through text. Emojis are helping, but the visual effect of 30 consecutive vowels in a curse word turns a bland profanity into a form of art," Danforth said.
Interestingly, the use of elongated words was found across languages. For example, "kkkkkkk" signifies laughter in Brazilian Portuguese while "wkwkwkwkwkwk" expresses it in Indonesian, according to the researchers.
Beyond the dictionary
Ultimately, this project could help artificial intelligence algorithms understand critical intrinsic meanings contained in the idiosyncratic variations in our communicative text or other linguistic symbols, such as punctuation and emojis.
Dictionary definitions hardly reflect the way that we actually communicate with one another digitally. What the researchers found, though, is that the words people stretch out aren't arbitrary. Rather, they have patterned distributions such as what part of the word is stretched or how much it stretches out. Colloquial digital language is, after all, a system of symbols and for it to transfer meaning we must all be "in" on the patterns.
This research suggests that by gaining understanding into stretched words used on social media opens more doors to helping AI better understand our slang. Tools and methods were developed that could be useful in future studies, for example investigations of intentional mis-typings and misspellings.
What benefits come from AI algorithms better understanding our digital lingo? For one, it's possible that new tools could be applied to improve natural language processing, search engines, and spam filters.
"We were able to comprehensively collect and count stretched words like 'gooooooaaaalll' and 'hahahaha'," the researchers said in a press release, "and map them across the two dimensions of overall stretchiness and balance of stretch, while developing new tools that will also aid in their continued linguistic study, and in other areas, such as language processing, augmenting dictionaries, improving search engines, analyzing the construction of sequences, and more."
What would it be like to experience the 4th dimension?
Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.
Duke University researchers might have solved a half-century old problem.
- Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Duke researchers have developed the first gel-based synthetic cartilage with the strength of the real thing. A quarter-sized disc of the material can withstand the weight of a 100-pound kettlebell without tearing or losing its shape.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
Vaccines find more success in development than any other kind of drug, but have been relatively neglected in recent decades.
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Sallie Krawcheck and Bob Kulhan will be talking money, jobs, and how the pandemic will disproportionally affect women's finances.